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Paper Citation Record · LEDGER

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2608.03335.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.03335 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:50:04.040985Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b181dd63-6c82-49e8-990b-50b9cb46d5d5 · outbound

This paper cites PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:50:03.943607Z digest=sha256:71400c67f27b4109e23dfe86180610c2037b2a42c96f42c6208915878841aca3

Observation 5468d60f-563f-43f9-a3f7-aeeccec62463 · outbound

This paper cites Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers

Reference 2

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source=pdf_text observed=2026-08-05T20:50:03.947151Z digest=sha256:bc490ebc472956ec17bb1ff5e91b9c45fe95b0904887e879ca6021c568036959

Observation abc45a81-3fb5-4e23-9020-8528057f10a5 · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-05T20:50:03.950908Z digest=sha256:70ab719f96b6d402cf3aea7c8178673b11606fd10f79aaa8dd5ea0110b763320

Observation 74291dc3-37cc-4ab5-91aa-4d8a716afad7 · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 4

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:50:03.953950Z digest=sha256:b675cb56c64acfda37a145f11f331cc2423e531f3d8b4ecd3d19a9e3e7adea1b

Observation 773b8599-23fe-4044-ba19-4c4a7b9d6a49 · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 5

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source=pdf_text observed=2026-08-05T20:50:03.956794Z digest=sha256:2f7726b886b6b9541497ec5f6308698d59102cdccea0eaed2690b157e5579207

Observation 788cdefd-0f10-471b-b781-cc76670f2e2d · outbound

This paper cites How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse

Reference 6

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source=pdf_text observed=2026-08-05T20:50:03.960063Z digest=sha256:cb4ee78a561c4a68f4d55a730319f043c6a3f99a26e752cd4805d8fd6ace2a25

Observation 2130302b-c659-4d29-bfc2-118e11d201be · outbound

This paper cites Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T20:50:03.963203Z digest=sha256:d70ce35cbe1c3d05b27e88337001ce8b3a1037c83f1889db7d34e2a90d33989e

Observation e2078dfc-c574-44de-bfdb-7e0cd65c37d2 · outbound

This paper cites SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference SeerAttention: Learning Intrinsic Sparse Attention in Your LLMs

Reference 8

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source=pdf_text observed=2026-08-05T20:50:03.966623Z digest=sha256:f3c0bcd7d07429a6fc9ce804d9b14d63bcd10a10819699a1e2c4bebdac9318f0

Observation fdf0583f-2116-4d48-a174-ef554ca7254f · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T20:50:03.969532Z digest=sha256:ad717e61a5cbc97ff325993d0e8f5f38cfb59fd30ba677fc3fb20881d1d5f6ff

Observation 571aff2c-500c-4595-948c-46dc16f5ba1c · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 10

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T20:50:03.972321Z digest=sha256:30da40a54d4e2ab7a8f24ec8241f9d7a480e28458a95e2932a8295b1c426a312

Observation f6f576f3-5ef7-4c19-b91d-4acba9dfbe93 · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-05T20:50:03.975483Z digest=sha256:cf101071ac7a9dda5e5846dd7ece068df1f9d08edfb0a3e8154b142ae0af10b9

Observation 6a485c77-41fc-46fd-a732-9357902f67c8 · outbound

This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 12

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source=pdf_text observed=2026-08-05T20:50:03.978556Z digest=sha256:f9745b3b088ecccc36c1475dc5ac37b5e2f8eceb731b015ba1f64316aa6aff8f

Observation 337a4cf0-90f0-4e46-9d5a-2c4c637be02a · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 13

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source=pdf_text observed=2026-08-05T20:50:03.981599Z digest=sha256:c9f069a48267bf701ba2f69ea60b04a30c9c34e332be47002ae0e5564f8e1fd8

Observation 0380e261-edaa-46d6-8086-6632893ec8f6 · outbound

This paper cites FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference

Reference 14

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source=pdf_text observed=2026-08-05T20:50:03.984247Z digest=sha256:2b32359811d899a84805cd701bbe590ec27dab1c18e8d3e8aeba84aeb0f7a94d

Observation 711be0a4-f38e-4953-8f80-39fa32b8988b · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T20:50:03.987142Z digest=sha256:77b4e85cbff17f0171a18f25139d630d2a31cfbb57add2ac5d30aacb82e96717

Observation 01fa6d89-f88a-47ff-b50b-7a2e900d864b · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference SnapKV: LLM Knows What You are Looking for Before Generation

Reference 16

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source=pdf_text observed=2026-08-05T20:50:03.989446Z digest=sha256:ae1f9ff67c8fd58d57bcf43715eb37c54689dcd455feade9aae4c6c31569d310

Observation 506df370-3e2e-4d81-93c8-6ceecac85928 · outbound

This paper cites FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality

Reference 17

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source=pdf_text observed=2026-08-05T20:50:03.992044Z digest=sha256:57bfd9063f34fbe0308d8f0f4f2f077c2924cb590c299db05dc8d8ce15145943

Observation 1b5272ea-9f79-49eb-91ff-2642acd883cf · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T20:50:03.994729Z digest=sha256:87f62a9e787591397668ff9cffeb64c0c935bcc3ee10b7acb2fac2ccff57a78a

Observation 5a5ae165-70ca-4508-98fc-939c30324f87 · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T20:50:03.997320Z digest=sha256:2c46784dab5a98bdfb772f925b0103eea6865d49c7cae475daa6d7cd82fd680b

Observation 35b4e506-56b9-4432-8acf-8d6a519d7a9a · outbound

This paper cites ThunderKittens: Simple, Fast, and Adorable AI Kernels.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference ThunderKittens: Simple, Fast, and Adorable AI Kernels

Reference 20

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source=pdf_text observed=2026-08-05T20:50:03.999826Z digest=sha256:7cf2fcdf03dd8933ac868336ef8e8de8083cad1a5d21a18ca917d4cc25ed893f

Observation 3a88ea12-93b4-45ee-80fb-f9c72276c3da · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 21

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doi, observed 2026-08-05T20:50:04.341974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T20:50:04.002454Z digest=sha256:211f8c3559d82da8abb1f62a4740c293a5a70e0ad8b14a1fcbc09ece3a54c621

Observation d2c7d796-e434-474e-af00-8370125e0622 · outbound

This paper cites FlashMask: Efficient and Rich Mask Extension of FlashAttention.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference FlashMask: Efficient and Rich Mask Extension of FlashAttention

Reference 22

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source=pdf_text observed=2026-08-05T20:50:04.005292Z digest=sha256:ec6af0479a7b93d5b4dcb0deeaea4b12af16e1fb0a067bec5d28df56048795e3

Observation 4e0fc979-8c54-4ffb-b5a0-c0de1ed5573a · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Wan: Open and Advanced Large-Scale Video Generative Models

Reference 23

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source=pdf_text observed=2026-08-05T20:50:04.007939Z digest=sha256:27123421ee90704501bb961fe01717585934100dff22a11fa25193c0050721b1

Observation 1182e9f7-2b88-4da5-87d4-4d6a7a414ee9 · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-05T20:50:04.010628Z digest=sha256:8cd04f6bc3e5ba685d0576f6b4059fd667d0f65acaad3f7119506ea9c434d68c

Observation 2fb1c392-37b1-432d-936b-09a318b8a644 · outbound

This paper cites Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity

Reference 25

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source=pdf_text observed=2026-08-05T20:50:04.013151Z digest=sha256:6c876558e4dd3ec60275f3d4fa8fbe2758ca5ddc947898b5075ce816afaa2b06

Observation 592390ad-17c1-4a84-b3cd-cff1366991c3 · outbound

This paper cites DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads

Reference 26

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source=pdf_text observed=2026-08-05T20:50:04.015805Z digest=sha256:c1f2e91a952095d436a03514b7a594e9a7f0e6651b53e5f3ddc45311866ed5bc

Observation fecf5e31-5c3d-4d22-8287-14ea50d614e9 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Efficient Streaming Language Models with Attention Sinks

Reference 27

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source=pdf_text observed=2026-08-05T20:50:04.018412Z digest=sha256:4e03540067464dc7681af25fadd082c4d49a4c6998d041a018be11311b47a3e6

Observation 64a6be5d-af81-48cf-b918-239a0419b694 · outbound

This paper cites XAttention: Block Sparse Attention with Antidiagonal Scoring.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference XAttention: Block Sparse Attention with Antidiagonal Scoring

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:50:04.021290Z digest=sha256:ffce248458d0775bf64f21380a392c98a7d8bc240295867322340c798c1fcbbb

Observation ba37427d-f92c-436b-991b-caf9919d90f6 · outbound

This paper cites Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:50:04.024042Z digest=sha256:6d4340bad2d3c1aa71b20418d35580e2bd0137b702199830c3f851030ced7ca3

Observation 2354e3e4-f8da-4d4f-bfde-456f6a411a1c · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T20:50:04.026852Z digest=sha256:decc72efc46165eee7af26c19390da013274ade43d7dc8e0bbed4be1c4431508

Observation 9a130e4f-2820-48a8-ae18-aa3d73c92158 · outbound

This paper cites DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:50:04.029253Z digest=sha256:780b168fb74575c433cbed758f057b2c59ec2c9c633abed886fb7d7722668adb

Observation 50dd76a3-7115-4d95-9a47-907a31a1b6a1 · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 32

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doi, observed 2026-08-05T20:50:04.221139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T20:50:04.031884Z digest=sha256:78781975e1c15e0152e966b3fea85ee8a2193f2f87edd4d7545eb840b573fbbd

Observation 396cd04e-42ea-43a6-88f4-9642522a924f · outbound

This paper cites an unresolved cited work.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Unresolved cited work

Reference 33

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doi, observed 2026-08-05T20:50:04.146477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T20:50:04.035135Z digest=sha256:dbdc55b120de4ce4b13e1c711d55dfbf64d37792d5db0b23d1f0edea34565110

Observation 0bfa6e02-c196-41ba-9936-c2b17ae4184e · outbound

This paper cites Fast Video Generation with Sliding Tile Attention.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference Fast Video Generation with Sliding Tile Attention

Reference 34

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source=pdf_text observed=2026-08-05T20:50:04.037796Z digest=sha256:e4ebef026d457cf81435b1df773525d29afad15baeec9e63f5f6d87b831c2eff

Observation d24e235f-2527-4e90-8633-e5c32b8576d3 · outbound

This paper cites VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness.

SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

Reference 35

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source=pdf_text observed=2026-08-05T20:50:04.040985Z digest=sha256:fd6721e05253651caa13be279302bc5a91f99ad112bc82dbb326c3d62f520623

Pith citing papers

No inbound Pith citation observations are available.